| 01 - Being a Python statistics MVP.mp4 | 3.4 MB | ||
| 01 - Being a Python statistics MVP.srt | 1.4 KB | ||
| 01 - Categorical exploration.mp4 | 7.7 MB | ||
| 01 - Categorical exploration.srt | 6.6 KB | ||
| 01 - Exploring data.mp4 | 6.6 MB | ||
| 01 - Exploring data.srt | 4.8 KB | ||
| 01 - Linear regression.mp4 | 16.7 MB | ||
| 01 - Linear regression.srt | 13.6 KB | ||
| 01 - Loading data.mp4 | 13.3 MB | ||
| 01 - Loading data.srt | 9.2 KB | ||
| 01 - Next steps.mp4 | 5.7 MB | ||
| 01 - Next steps.srt | 2.3 KB | ||
| 02 - Histograms and distributions.mp4 | 8 MB | ||
| 02 - Histograms and distributions.srt | 6.7 KB | ||
| 02 - Interpreting linear regression models.mp4 | 10.2 MB | ||
| 02 - Interpreting linear regression models.srt | 7.4 KB | ||
| 02 - Strings and categories.mp4 | 35.7 MB | ||
| 02 - Strings and categories.srt | 27.1 KB | ||
| 02 - Visualizing distributions.mp4 | 12.6 MB | ||
| 02 - Visualizing distributions.srt | 10.3 KB | ||
| 02 - What you should know.mp4 | 998.7 KB | ||
| 03 - Cleaning numbers.mp4 | 41.7 MB | ||
| 03 - Cleaning numbers.srt | 26.7 KB | ||
| 03 - Outliers and Z-scores.mp4 | 19.3 MB | ||
| 03 - Outliers and Z-scores.srt | 10.4 KB | ||
| 03 - Running statistical tests.mp4 | 12.7 MB | ||
| 03 - Running statistical tests.srt | 6.7 KB | ||
| 03 - Standardizing values.mp4 | 19 MB | ||
| 03 - Standardizing values.srt | 10.7 KB | ||
| 03 - Using GitHub Codespaces with this course.mp4 | 7.8 MB | ||
| 03 - Using GitHub Codespaces with this course.srt | 5.2 KB | ||
| 04 - Correlations.mp4 | 26 MB | ||
| 04 - Correlations.srt | 12.3 KB | ||
| 04 - Regression with XGBoost.mp4 | 19.9 MB | ||
| 04 - Regression with XGBoost.srt | 14.8 KB | ||
| 04 - Shrinking numbers.mp4 | 14.6 MB | ||
| 04 - Shrinking numbers.srt | 9.4 KB | ||
| 04 - Testing for normality.mp4 | 9.7 MB | ||
| 04 - Testing for normality.srt | 7.3 KB | ||
| 05 - Challenge Checking square footage distributions.mp4 | 646.9 KB | ||
| 05 - Challenge Checking square footage distributions.srt | 614.4 B | ||
| 05 - Challenge Clean Ames.mp4 | 3.2 MB | ||
| 05 - Challenge Clean Ames.srt | 2.8 KB | ||
| 05 - Challenge Predict Ames.mp4 | 1.2 MB | ||
| 05 - Challenge Predict Ames.srt | 1.1 KB | ||
| 05 - Scatter plots.mp4 | 15.5 MB | ||
| 05 - Scatter plots.srt | 12.6 KB | ||
| 06 - Solution Checking square footage distributions.mp4 | 9.2 MB | ||
| 06 - Solution Checking square footage distributions.srt | 6.3 KB | ||
| 06 - Solution Clean Ames.mp4 | 15 MB | ||
| 06 - Solution Clean Ames.srt | 6.3 KB | ||
| 06 - Solution Predict Ames.mp4 | 8.8 MB | ||
| 06 - Solution Predict Ames.srt | 6.7 KB | ||
| 06 - Visualizing categorical and numerical values.mp4 | 25.6 MB | ||
| 06 - Visualizing categorical and numerical values.srt | 17.1 KB | ||
| 07 - Comparing two categoricals.mp4 | 13.6 MB | ||
| 07 - Comparing two categoricals.srt | 10.1 KB | ||
| 08 - Challenge Explore Ames.mp4 | 802.1 KB | ||
| 08 - Challenge Explore Ames.srt | 716.8 B | ||
| 09 - Solution Explore Ames.mp4 | 6.8 MB | ||
| 09 - Solution Explore Ames.srt | 5.5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 63 total files | |||
Python Statistics Essential Training (2023)
https://DevCourseWeb.com
Released 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 39m | Size: 392 MB
The field of statistics has become increasingly dependent on data analysis and interpretation using Python. With the rise of big data and data science, the demand for professionals who can effectively analyze and interpret data using Python has skyrocketed. In this course, Matt Harrison teaches you how to collect, clean, analyze, and visualize data using the powerful tools of the Python programming language. Join Matt as he gives into the various techniques that form the backbone of statistics and helps you understand the data with summary statistics and visualizations. He explains how to create predictive models using both linear regression andXGBoost, and wraps up the course with a look at hypothesis testing. If you’re interested in exploring statistics using a code-first approach, join Matt in this course as he shows you how to use Python to unlock the power of data.
Homepage
https://anonymz.com/...aining-19258005
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
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Udemy - Applied Statistics and Probability for Data Science - Python Posted by
freecoursewb in Other
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1.5 GB | freecoursewb | 7 months | 4 | 1 |
| 1.8 GB | freecoursewb | 11 months | 6 | 0 | |
| 2.1 GB | freecoursewb | 11 months | 5 | 3 | |
| 2.03 GB | Prom3th3uS | 1 year | 4 | 1 | |
| 2.4 GB | freecoursewb | 4 years | 0 | 0 |
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